Production-ready examples demonstrating Beanis - a Redis ODM for Python with Pydantic integration.

📁 restaurant-finder/

Build a lightning-fast restaurant finder using:

• OpenStreetMap for real restaurant data
• PostgreSQL + PostGIS as source of truth
• Redis + Beanis as cache layer (90% faster queries)
• FastAPI REST API

Features:

• Geo-spatial queries (find nearby restaurants)
• Cache-first strategy with fallback
• Real-world data import from OSM
• Production-ready architecture

Performance: 6ms (cached) vs 76ms (database) - 92% faster

Read the tutorial →

• Real-time Leaderboard: Gaming scores with sorted sets
• URL Shortener: Click tracking and analytics
• Session Store: User sessions with TTL
• Job Queue: Background task processing

Have an example idea? Open an issue or PR!

MIT